85 citations · 211 across the 19 of their papers we have counts for
25 papers
On Speaker Attribution with SURT
Desh Raj, Matthew Wiesner, Matthew Maciejewski +3
The Streaming Unmixing and Recognition Transducer (SURT) has recently become a popular framework for continuous, streaming, multi-talker speech recognition (ASR). With advances in…
Bridging Speech and Textual Pre-trained Models with Unsupervised ASR
Jiatong Shi, Chan-Jan Hsu, Holam Chung +5
Spoken language understanding (SLU) is a task aiming to extract high-level semantics from spoken utterances. Previous works have investigated the use of speech self-supervised mode…
EURO: ESPnet Unsupervised ASR Open-source Toolkit
Dongji Gao, Jiatong Shi, Shun-Po Chuang +4
This paper describes the ESPnet Unsupervised ASR Open-source Toolkit (EURO), an end-to-end open-source toolkit for unsupervised automatic speech recognition (UASR). EURO adopts the…
Adapting self-supervised models to multi-talker speech recognition using speaker embeddings
Zili Huang, Desh Raj, Paola García +1
Self-supervised learning (SSL) methods which learn representations of data without explicit supervision have gained popularity in speech-processing tasks, particularly for single-t…
Mutual Learning of Single- and Multi-Channel End-to-End Neural Diarization
Shota Horiguchi, Yuki Takashima, Shinji Watanabe +1
Due to the high performance of multi-channel speech processing, we can use the outputs from a multi-channel model as teacher labels when training a single-channel model with knowle…
Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractors
Shota Horiguchi, Shinji Watanabe, Paola Garcia +2
A method to perform offline and online speaker diarization for an unlimited number of speakers is described in this paper. End-to-end neural diarization (EEND) has achieved overlap…